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Azure Data Engineer - Fivetran or Snowflake Specialist

Data & Analytics
Bengaluru
Job Description
  1. Design, develop, and deploy      data pipelines and workflows using Fivetran or Snowflake on the Azure      platform.
  2. Collaborate with business      stakeholders to gather data requirements and translate them into technical      specifications.
  3. Configure and customize      Fivetran connectors or Snowflake integrations to extract, transform, and      load data from various source systems into Azure.
  4. Implement data quality      checks and monitoring processes to ensure the accuracy and integrity of      data within Fivetran or Snowflake.
  5. Optimize data pipelines for      performance, scalability, and cost-efficiency, leveraging Azure services      such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  6. Work closely with data      analysts and data scientists to provide them with access to curated      datasets in Fivetran or Snowflake for analysis and reporting.
  7. Collaborate with DevOps      teams to automate deployment, monitoring, and management tasks related to      Fivetran or Snowflake environments.
  8. Troubleshoot data pipeline      issues, performance bottlenecks, and data quality issues in collaboration      with relevant teams.
  9. Stay updated with the      latest trends and best practices in cloud data engineering, Fivetran,      Snowflake, and Azure technologies.
  10. Document data pipelines,      configurations, and processes to ensure knowledge sharing and      maintainability.
Qualifications:
  1. Bachelor's degree in      Computer Science, Information Technology, or related field.
  2. 5+ years of experience in      data warehousing
  3. Proven experience as a data      engineer, with specific expertise in implementing data solutions using      Fivetran or Snowflake.
  4. Hands-on experience with      Azure cloud services, including Azure Data Factory, Azure Databricks,      Azure Synapse Analytics, and Azure Storage.
  5. Proficiency in SQL for data      querying, transformation, and manipulation.
  6. Experience with data      modeling concepts and techniques for designing efficient data warehouses      and data lakes.
  7. Strong understanding of      ETL/ELT principles and best practices.
  8. Excellent problem-solving      skills and attention to detail, with the ability to troubleshoot and      resolve complex data issues.
  9. Experience with DevOps      practices and tools for automation, CI/CD, and infrastructure as code is a      plus.
  10. Strong communication and      interpersonal skills, with the ability to collaborate effectively with      cross-functional teams.
  11. Certifications in Azure      Data Engineering or related areas are desirable.
Job Requirement
  1. Design, develop, and deploy      data pipelines and workflows using Fivetran or Snowflake on the Azure      platform.
  2. Collaborate with business      stakeholders to gather data requirements and translate them into technical      specifications.
  3. Configure and customize      Fivetran connectors or Snowflake integrations to extract, transform, and      load data from various source systems into Azure.
  4. Implement data quality      checks and monitoring processes to ensure the accuracy and integrity of      data within Fivetran or Snowflake.
  5. Optimize data pipelines for      performance, scalability, and cost-efficiency, leveraging Azure services      such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  6. Work closely with data      analysts and data scientists to provide them with access to curated      datasets in Fivetran or Snowflake for analysis and reporting.
  7. Collaborate with DevOps      teams to automate deployment, monitoring, and management tasks related to      Fivetran or Snowflake environments.
  8. Troubleshoot data pipeline      issues, performance bottlenecks, and data quality issues in collaboration      with relevant teams.
  9. Stay updated with the      latest trends and best practices in cloud data engineering, Fivetran,      Snowflake, and Azure technologies.
  10. Document data pipelines,      configurations, and processes to ensure knowledge sharing and      maintainability.
Qualifications:
  1. Bachelor's degree in      Computer Science, Information Technology, or related field.
  2. 5+ years of experience in      data warehousing
  3. Proven experience as a data      engineer, with specific expertise in implementing data solutions using      Fivetran or Snowflake.
  4. Hands-on experience with      Azure cloud services, including Azure Data Factory, Azure Databricks,      Azure Synapse Analytics, and Azure Storage.
  5. Proficiency in SQL for data      querying, transformation, and manipulation.
  6. Experience with data      modeling concepts and techniques for designing efficient data warehouses      and data lakes.
  7. Strong understanding of      ETL/ELT principles and best practices.
  8. Excellent problem-solving      skills and attention to detail, with the ability to troubleshoot and      resolve complex data issues.
  9. Experience with DevOps      practices and tools for automation, CI/CD, and infrastructure as code is a      plus.
  10. Strong communication and      interpersonal skills, with the ability to collaborate effectively with      cross-functional teams.
  11. Certifications in Azure      Data Engineering or related areas are desirable.